In this post, you'll learn how to compute the posterior distribution of simple and complex models both mathematically and numerically. Before diving into the computations, we'll review essential statistical concepts to build a solid understanding of the posterior and Bayesian inference in general. We assume that readers are familiar with probability theory, calculus, set theory and the R programming language

Practica de metodos estadisticos

Second lecture for Fall 2024, GOVT2306 course I am teaching at University of Houston. The topic is "What is government? What is the State? What is politics?"